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vladmandic / automatic

SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
https://github.com/vladmandic/automatic
GNU Affero General Public License v3.0
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[Issue]: Custom text encoder with Flux fails #3470

Closed SAC020 closed 1 week ago

SAC020 commented 1 week ago

Issue Description

I am trying to use custom text encoders with Flux and failing with

RuntimeError: Expected query, key, and value to have the same dtype, but got query.dtype: struct c10::BFloat16 key.dtype: struct c10::BFloat16 and value.dtype: float instead.

I am running in BF16, no upcasting

image

Tried multiple text encoders, same error.

Version Platform Description

PS C:\ai\automatic> .\webui.bat --debug Using VENV: C:\ai\automatic\venv 08:48:46-962516 INFO Starting SD.Next 08:48:46-965989 INFO Logger: file="C:\ai\automatic\sdnext.log" level=DEBUG size=65 mode=create 08:48:46-967476 INFO Python: version=3.11.9 platform=Windows bin="C:\ai\automatic\venv\Scripts\python.exe" venv="C:\ai\automatic\venv" 08:48:47-196181 INFO Version: app=sd.next updated=2024-10-01 hash=bd6e689b branch=dev url=https://github.com/vladmandic/automatic/tree/dev ui=dev 08:48:48-030975 INFO Repository latest available e7ec07f9783701629ca1411ad82aec87232501b9 2024-09-13T16:51:56Z 08:48:48-044672 INFO Platform: arch=AMD64 cpu=Intel64 Family 6 Model 165 Stepping 5, GenuineIntel system=Windows release=Windows-10-10.0.22631-SP0 python=3.11.9

Relevant log output

PS C:\ai\automatic> .\webui.bat --debug
Using VENV: C:\ai\automatic\venv
08:48:46-962516 INFO     Starting SD.Next
08:48:46-965989 INFO     Logger: file="C:\ai\automatic\sdnext.log" level=DEBUG size=65 mode=create
08:48:46-967476 INFO     Python: version=3.11.9 platform=Windows bin="C:\ai\automatic\venv\Scripts\python.exe"
                         venv="C:\ai\automatic\venv"
08:48:47-196181 INFO     Version: app=sd.next updated=2024-10-01 hash=bd6e689b branch=dev
                         url=https://github.com/vladmandic/automatic/tree/dev ui=dev
08:48:48-030975 INFO     Repository latest available e7ec07f9783701629ca1411ad82aec87232501b9 2024-09-13T16:51:56Z
08:48:48-044672 INFO     Platform: arch=AMD64 cpu=Intel64 Family 6 Model 165 Stepping 5, GenuineIntel system=Windows
                         release=Windows-10-10.0.22631-SP0 python=3.11.9
08:48:48-046656 DEBUG    Setting environment tuning
08:48:48-047648 DEBUG    Torch allocator: "garbage_collection_threshold:0.80,max_split_size_mb:512"
08:48:48-059056 DEBUG    Torch overrides: cuda=False rocm=False ipex=False diml=False openvino=False zluda=False
08:48:48-070500 INFO     CUDA: nVidia toolkit detected
08:48:48-161340 WARNING  Modified files: ['models/Reference/playgroundai--playground-v2-1024px-aesthetic.jpg']
08:48:48-256076 INFO     Verifying requirements
08:48:48-260044 INFO     Verifying packages
08:48:48-308377 DEBUG    Timestamp repository update time: Wed Oct  2 04:26:21 2024
08:48:48-309369 INFO     Startup: standard
08:48:48-310361 INFO     Verifying submodules
08:48:50-942042 DEBUG    Git detached head detected: folder="extensions-builtin/sd-extension-chainner" reattach=main
08:48:50-943034 DEBUG    Git submodule: extensions-builtin/sd-extension-chainner / main
08:48:51-079970 DEBUG    Git detached head detected: folder="extensions-builtin/sd-extension-system-info" reattach=main
08:48:51-080964 DEBUG    Git submodule: extensions-builtin/sd-extension-system-info / main
08:48:51-219371 DEBUG    Git detached head detected: folder="extensions-builtin/sd-webui-agent-scheduler" reattach=main
08:48:51-220365 DEBUG    Git submodule: extensions-builtin/sd-webui-agent-scheduler / main
08:48:51-410791 DEBUG    Git detached head detected: folder="extensions-builtin/sdnext-modernui" reattach=dev
08:48:51-411783 DEBUG    Git submodule: extensions-builtin/sdnext-modernui / dev
08:48:51-592829 DEBUG    Git detached head detected: folder="extensions-builtin/stable-diffusion-webui-rembg"
                         reattach=master
08:48:51-594317 DEBUG    Git submodule: extensions-builtin/stable-diffusion-webui-rembg / master
08:48:51-736915 DEBUG    Git detached head detected: folder="modules/k-diffusion" reattach=master
08:48:51-738404 DEBUG    Git submodule: modules/k-diffusion / master
08:48:51-875515 DEBUG    Git detached head detected: folder="wiki" reattach=master
08:48:51-876507 DEBUG    Git submodule: wiki / master
08:48:51-955868 DEBUG    Register paths
08:48:52-047130 DEBUG    Installed packages: 217
08:48:52-049145 DEBUG    Extensions all: ['Lora', 'sd-extension-chainner', 'sd-extension-system-info',
                         'sd-webui-agent-scheduler', 'sd-webui-controlnet', 'sdnext-modernui',
                         'stable-diffusion-webui-images-browser', 'stable-diffusion-webui-rembg']
08:48:52-231176 DEBUG    Extension installer: C:\ai\automatic\extensions-builtin\sd-extension-system-info\install.py
08:48:52-428088 DEBUG    Extension installer: C:\ai\automatic\extensions-builtin\sd-webui-agent-scheduler\install.py
08:48:55-111079 DEBUG    Extension installer: C:\ai\automatic\extensions-builtin\sd-webui-controlnet\install.py
08:49:03-785916 DEBUG    Extension installer:
                         C:\ai\automatic\extensions-builtin\stable-diffusion-webui-images-browser\install.py
08:49:06-895450 DEBUG    Extension installer: C:\ai\automatic\extensions-builtin\stable-diffusion-webui-rembg\install.py
08:49:16-644546 DEBUG    Extensions all: []
08:49:16-645539 INFO     Extensions enabled: ['Lora', 'sd-extension-chainner', 'sd-extension-system-info',
                         'sd-webui-agent-scheduler', 'sd-webui-controlnet', 'sdnext-modernui',
                         'stable-diffusion-webui-images-browser', 'stable-diffusion-webui-rembg']
08:49:16-647026 INFO     Verifying requirements
08:49:16-648018 DEBUG    Setup complete without errors: 1727848157
08:49:16-654962 DEBUG    Extension preload: {'extensions-builtin': 0.0, 'extensions': 0.0}
08:49:16-656450 DEBUG    Starting module: <module 'webui' from 'C:\\ai\\automatic\\webui.py'>
08:49:16-657938 INFO     Command line args: ['--debug'] debug=True
08:49:16-658434 DEBUG    Env flags: []
08:49:23-464806 INFO     System packages: {'torch': '2.4.0+cu124', 'diffusers': '0.31.0.dev0', 'gradio': '3.43.2',
                         'transformers': '4.45.1', 'accelerate': '0.33.0'}
08:49:24-021256 DEBUG    Huggingface cache: folder="C:\Users\sebas\.cache\huggingface\hub"
08:49:24-135880 INFO     Device detect: memory=24.0 optimization=none
08:49:24-137864 DEBUG    Read: file="config.json" json=37 bytes=1566 time=0.000
08:49:24-139353 DEBUG    Unknown settings: ['cross_attention_options']
08:49:24-141336 INFO     Engine: backend=Backend.DIFFUSERS compute=None device=cuda attention="Scaled-Dot-Product"
                         mode=no_grad
08:49:24-142824 DEBUG    Read: file="html\reference.json" json=52 bytes=29118 time=0.000
08:49:24-194432 INFO     Torch parameters: backend=cuda device=cuda config=BF16 dtype=torch.bfloat16 vae=torch.bfloat16
                         unet=torch.bfloat16 context=no_grad nohalf=False nohalfvae=False upscast=False
                         deterministic=False test-fp16=True test-bf16=True optimization="Scaled-Dot-Product"
08:49:24-479761 DEBUG    ONNX: version=1.19.2 provider=CPUExecutionProvider, available=['AzureExecutionProvider',
                         'CPUExecutionProvider']
08:49:24-642178 INFO     Device: device=NVIDIA GeForce RTX 4090 n=1 arch=sm_90 capability=(8, 9) cuda=12.4 cudnn=90100
                         driver=561.09
08:49:24-728978 DEBUG    Importing LDM
08:49:24-749810 DEBUG    Entering start sequence
08:49:24-752290 DEBUG    Initializing
08:49:24-782050 INFO     Available VAEs: path="models\VAE" items=0
08:49:24-783538 INFO     Available UNets: path="models\UNET" items=0
08:49:24-785026 INFO     Available TEs: path="models\Text-encoder" items=4
08:49:24-787506 INFO     Disabled extensions: ['sd-webui-controlnet', 'sdnext-modernui']
08:49:24-789490 DEBUG    Read: file="cache.json" json=2 bytes=11134 time=0.000
08:49:24-798914 DEBUG    Read: file="metadata.json" json=708 bytes=2521081 time=0.008
08:49:24-803874 DEBUG    Scanning diffusers cache: folder="models\Diffusers" items=3 time=0.00
08:49:24-805363 INFO     Available Models: path="models\Stable-diffusion" items=15 time=0.02
08:49:24-863394 DEBUG    Load extensions
08:49:24-935810 INFO     Extension: script='extensions-builtin\Lora\scripts\lora_script.py'
                         [2;36m08:49:24-932834[0m[2;36m [0m[34mINFO    [0m Available LoRAs: [33mitems[0m=[1;36m146[0m
                         [33mfolders[0m=[1;36m4[0m
08:49:25-330586 INFO     Extension: script='extensions-builtin\sd-webui-agent-scheduler\scripts\task_scheduler.py' Using
                         sqlite file: extensions-builtin\sd-webui-agent-scheduler\task_scheduler.sqlite3
08:49:25-535358 DEBUG    Extensions init time: 0.67 sd-webui-agent-scheduler=0.35
                         stable-diffusion-webui-images-browser=0.20
08:49:25-548254 DEBUG    Read: file="html/upscalers.json" json=4 bytes=2672 time=0.000
08:49:25-549744 DEBUG    Read: file="extensions-builtin\sd-extension-chainner\models.json" json=24 bytes=2719 time=0.000
08:49:25-552849 DEBUG    chaiNNer models: path="models\chaiNNer" defined=24 discovered=0 downloaded=8
08:49:25-554834 DEBUG    Upscaler type=ESRGAN folder="models\ESRGAN" model="1x-ITF-SkinDiffDetail-Lite-v1"
                         path="models\ESRGAN\1x-ITF-SkinDiffDetail-Lite-v1.pth"
08:49:25-556322 DEBUG    Upscaler type=ESRGAN folder="models\ESRGAN" model="4xNMKDSuperscale_4xNMKDSuperscale"
                         path="models\ESRGAN\4xNMKDSuperscale_4xNMKDSuperscale.pth"
08:49:25-557314 DEBUG    Upscaler type=ESRGAN folder="models\ESRGAN" model="4x_NMKD-Siax_200k"
                         path="models\ESRGAN\4x_NMKD-Siax_200k.pth"
08:49:25-560290 INFO     Available Upscalers: items=56 downloaded=11 user=3 time=0.02 types=['None', 'Lanczos',
                         'Nearest', 'ChaiNNer', 'AuraSR', 'ESRGAN', 'LDSR', 'RealESRGAN', 'SCUNet', 'SD', 'SwinIR']
08:49:25-577426 INFO     Available Styles: folder="models\styles" items=288 time=0.02
08:49:25-580430 DEBUG    Creating UI
08:49:25-581890 DEBUG    UI themes available: type=Standard themes=12
08:49:25-582882 INFO     UI theme: type=Standard name="black-teal"
08:49:25-590322 DEBUG    UI theme: css="C:\ai\automatic\javascript\black-teal.css" base="sdnext.css" user="None"
08:49:25-592802 DEBUG    UI initialize: txt2img
08:49:25-675333 DEBUG    Networks: page='model' items=66 subfolders=2 tab=txt2img folders=['models\\Stable-diffusion',
                         'models\\Diffusers', 'models\\Reference'] list=0.06 thumb=0.01 desc=0.01 info=0.00 workers=8
                         sort=Default
08:49:25-691205 DEBUG    Networks: page='lora' items=146 subfolders=0 tab=txt2img folders=['models\\Lora',
                         'models\\LyCORIS'] list=0.06 thumb=0.02 desc=0.06 info=0.03 workers=8 sort=Default
08:49:25-722454 DEBUG    Networks: page='style' items=288 subfolders=1 tab=txt2img folders=['models\\styles', 'html']
                         list=0.06 thumb=0.00 desc=0.00 info=0.00 workers=8 sort=Default
08:49:25-727910 DEBUG    Networks: page='embedding' items=13 subfolders=0 tab=txt2img folders=['models\\embeddings']
                         list=0.04 thumb=0.02 desc=0.01 info=0.00 workers=8 sort=Default
08:49:25-729893 DEBUG    Networks: page='vae' items=0 subfolders=0 tab=txt2img folders=['models\\VAE'] list=0.00
                         thumb=0.00 desc=0.00 info=0.00 workers=8 sort=Default
08:49:25-984838 DEBUG    UI initialize: img2img
08:49:26-097858 DEBUG    UI initialize: control models=models\control
08:49:26-426245 DEBUG    Read: file="ui-config.json" json=0 bytes=2 time=0.000
08:49:26-537569 DEBUG    UI themes available: type=Standard themes=12
08:49:27-129792 DEBUG    Reading failed: C:\ai\automatic\html\extensions.json [Errno 2] No such file or directory:
                         'C:\\ai\\automatic\\html\\extensions.json'
08:49:27-131526 INFO     Extension list is empty: refresh required
08:49:27-799541 DEBUG    Extension list: processed=8 installed=8 enabled=6 disabled=2 visible=8 hidden=0
08:49:28-153684 DEBUG    Root paths: ['C:\\ai\\automatic']
08:49:28-232577 INFO     Local URL: http://127.0.0.1:7860/
08:49:28-233988 DEBUG    Gradio functions: registered=2453
08:49:28-235475 DEBUG    FastAPI middleware: ['Middleware', 'Middleware']
08:49:28-238451 DEBUG    Creating API
08:49:28-415551 INFO     [AgentScheduler] Task queue is empty
08:49:28-417011 INFO     [AgentScheduler] Registering APIs
08:49:28-869362 DEBUG    Scripts setup: ['IP Adapters:0.026', 'XYZ Grid:0.014', 'Face:0.013', 'AnimateDiff:0.007',
                         'CogVideoX:0.008', 'Ctrl-X:0.006', 'LUT Color grading:0.006', 'X/Y/Z Grid:0.013',
                         'Image-to-Video:0.007', 'Stable Video Diffusion:0.005']
08:49:28-870851 DEBUG    Model metadata: file="metadata.json" no changes
08:49:28-872863 DEBUG    Model requested: fn=<lambda>
08:49:28-873828 INFO     Load model: select="Diffusers\sayakpaul/flux.1-dev-nf4 [b054bc66ae]"
08:49:28-875316 DEBUG    Load model:
                         target="models\Diffusers\models--sayakpaul--flux.1-dev-nf4\snapshots\b054bc66ae1097b811848c3739
                         ecd673a864bda1" existing=False info=None
08:49:28-876804 DEBUG    Load model:
                         path="models\Diffusers\models--sayakpaul--flux.1-dev-nf4\snapshots\b054bc66ae1097b811848c3739ec
                         d673a864bda1"
08:49:28-877795 INFO     Autodetect model: detect="FLUX" class=FluxPipeline
                         file="models\Diffusers\models--sayakpaul--flux.1-dev-nf4\snapshots\b054bc66ae1097b811848c3739ec
                         d673a864bda1" size=0MB
08:49:28-879808 DEBUG    Load model: type=FLUX model="Diffusers\sayakpaul/flux.1-dev-nf4"
                         repo="sayakpaul/flux.1-dev-nf4" unet="None" t5="None" vae="None" quant=nf4 offload=model
                         dtype=torch.bfloat16
08:49:28-880800 DEBUG    HF login: no token provided
08:49:31-855655 DEBUG    GC: utilization={'gpu': 34, 'ram': 11, 'threshold': 80} gc={'collected': 2455, 'saved': 0.0}
                         before={'gpu': 8.12, 'ram': 7.27} after={'gpu': 8.12, 'ram': 7.27, 'retries': 0, 'oom': 0}
                         device=cuda fn=load_flux_nf4 time=0.21
08:49:32-407206 DEBUG    Load model: type=FLUX preloaded=['transformer']
Diffusers  4.51it/s █████████████ 100% 2/2 00:00 00:00 Loading checkpoint shards
Diffusers  6.90it/s ████████ 100% 7/7 00:01 00:00 Loading pipeline components...
08:49:33-771261 INFO     Load network: type=embeddings loaded=0 skipped=13 time=0.01
08:49:33-772749 DEBUG    Setting model: component=VAE slicing=True
08:49:33-773742 DEBUG    Setting model: component=VAE tiling=True
08:49:33-775229 DEBUG    Setting model: attention="Scaled-Dot-Product"
08:49:33-790110 DEBUG    Setting model: offload=model
08:49:35-936398 DEBUG    GC: utilization={'gpu': 7, 'ram': 11, 'threshold': 80} gc={'collected': 231, 'saved': 0.0}
                         before={'gpu': 1.64, 'ram': 7.33} after={'gpu': 1.64, 'ram': 7.33, 'retries': 0, 'oom': 0}
                         device=cuda fn=load_diffuser time=0.21
08:49:35-943159 INFO     Load model: time=6.85 load=4.88 move=1.94 native=1024 memory={'ram': {'used': 7.33, 'total':
                         63.92}, 'gpu': {'used': 1.64, 'total': 23.99}, 'retries': 0, 'oom': 0}
08:49:35-945611 DEBUG    Script callback init time: image_browser.py:ui_tabs=0.44 system-info.py:app_started=0.07
                         task_scheduler.py:app_started=0.47
08:49:35-947100 INFO     Startup time: 19.28 torch=4.55 gradio=1.31 diffusers=0.45 libraries=1.76 extensions=0.67
                         face-restore=0.06 ui-networks=0.41 ui-txt2img=0.08 ui-img2img=0.08 ui-control=0.15
                         ui-settings=0.25 ui-extensions=1.17 ui-defaults=0.27 launch=0.14 api=0.09 app-started=0.54
                         checkpoint=7.08
08:49:35-949083 DEBUG    Save: file="config.json" json=37 bytes=1517 time=0.004
08:49:35-952060 DEBUG    Unused settings: ['cross_attention_options']
08:49:59-957977 DEBUG    Server: alive=True jobs=1 requests=7 uptime=36 memory=7.33/63.92 backend=Backend.DIFFUSERS
                         state=idle
08:50:03-047256 WARNING  Ctrl-X: pipeline=FluxPipeline required=StableDiffusionXLPipeline
08:50:03-049736 INFO     XYZ grid start: images=3 grid=1 shape=3x1 cells=1 steps=60
08:50:03-052216 DEBUG    Load module: type=t5 path="Long-ViT-L-14-GmP-ft" module="text_encoder_2"
08:50:03-053704 DEBUG    HF login: no token provided
08:50:34-382146 DEBUG    XYZ grid apply text-encoder: "Long-ViT-L-14-GmP-ft"
08:50:34-388099 INFO     Base: class=FluxPipeline
08:50:34-389587 DEBUG    Sampler default FlowMatchEulerDiscreteScheduler: {'num_train_timesteps': 1000, 'shift': 3.0,
                         'use_dynamic_shifting': True, 'base_shift': 0.5, 'max_shift': 1.15, 'base_image_seq_len': 256,
                         'max_image_seq_len': 4096}
08:50:34-412404 DEBUG    Torch generator: device=cuda seeds=[3852281433]
08:50:34-413485 DEBUG    Diffuser pipeline: FluxPipeline task=DiffusersTaskType.TEXT_2_IMAGE batch=1/1x1 set={'prompt':
                         1, 'guidance_scale': 6, 'num_inference_steps': 20, 'output_type': 'latent', 'width': 1024,
                         'height': 1024, 'parser': 'Fixed attention'}
Progress ?it/s                                              0% 0/20 00:06 ? Base
08:50:45-418002 ERROR    Processing: args={'prompt': ["This is a photograph"], 'guidance_scale': 6, 'generator': [<torch._C.Generator
                         object at 0x0000024121BA21B0>], 'callback_on_step_end': <function diffusers_callback at
                         0x0000023F8960EC00>, 'callback_on_step_end_tensor_inputs': ['latents'], 'num_inference_steps':
                         20, 'output_type': 'latent', 'width': 1024, 'height': 1024} Expected query, key, and value to
                         have the same dtype, but got query.dtype: struct c10::BFloat16 key.dtype: struct c10::BFloat16
                         and value.dtype: float instead.
08:50:45-421474 ERROR    Processing: RuntimeError
╭───────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────╮
│ C:\ai\automatic\modules\processing_diffusers.py:95 in process_base                                                   │
│                                                                                                                      │
│    94 │   │   else:                                                                                                  │
│ ❱  95 │   │   │   output = shared.sd_model(**base_args)                                                              │
│    96 │   │   if isinstance(output, dict):                                                                           │
│                                                                                                                      │
│ C:\ai\automatic\venv\Lib\site-packages\torch\utils\_contextlib.py:116 in decorate_context                            │
│                                                                                                                      │
│   115 │   │   with ctx_factory():                                                                                    │
│ ❱ 116 │   │   │   return func(*args, **kwargs)                                                                       │
│   117                                                                                                                │
│                                                                                                                      │
│ C:\ai\automatic\venv\Lib\site-packages\diffusers\pipelines\flux\pipeline_flux.py:719 in __call__                     │
│                                                                                                                      │
│   718 │   │   │   │                                                                                                  │
│ ❱ 719 │   │   │   │   noise_pred = self.transformer(                                                                 │
│   720 │   │   │   │   │   hidden_states=latents,                                                                     │
│                                                                                                                      │
│ C:\ai\automatic\venv\Lib\site-packages\torch\nn\modules\module.py:1553 in _wrapped_call_impl                         │
│                                                                                                                      │
│   1552 │   │   else:                                                                                                 │
│ ❱ 1553 │   │   │   return self._call_impl(*args, **kwargs)                                                           │
│   1554                                                                                                               │
│                                                                                                                      │
│ C:\ai\automatic\venv\Lib\site-packages\torch\nn\modules\module.py:1562 in _call_impl                                 │
│                                                                                                                      │
│   1561 │   │   │   │   or _global_forward_hooks or _global_forward_pre_hooks):                                       │
│ ❱ 1562 │   │   │   return forward_call(*args, **kwargs)                                                              │
│   1563                                                                                                               │
│                                                                                                                      │
│ C:\ai\automatic\venv\Lib\site-packages\accelerate\hooks.py:169 in new_forward                                        │
│                                                                                                                      │
│   168 │   │   else:                                                                                                  │
│ ❱ 169 │   │   │   output = module._old_forward(*args, **kwargs)                                                      │
│   170 │   │   return module._hf_hook.post_forward(module, output)                                                    │
│                                                                                                                      │
│ C:\ai\automatic\venv\Lib\site-packages\diffusers\models\transformers\transformer_flux.py:495 in forward              │
│                                                                                                                      │
│   494 │   │   │   else:                                                                                              │
│ ❱ 495 │   │   │   │   encoder_hidden_states, hidden_states = block(                                                  │
│   496 │   │   │   │   │   hidden_states=hidden_states,                                                               │
│                                                                                                                      │
│ C:\ai\automatic\venv\Lib\site-packages\torch\nn\modules\module.py:1553 in _wrapped_call_impl                         │
│                                                                                                                      │
│   1552 │   │   else:                                                                                                 │
│ ❱ 1553 │   │   │   return self._call_impl(*args, **kwargs)                                                           │
│   1554                                                                                                               │
│                                                                                                                      │
│ C:\ai\automatic\venv\Lib\site-packages\torch\nn\modules\module.py:1562 in _call_impl                                 │
│                                                                                                                      │
│   1561 │   │   │   │   or _global_forward_hooks or _global_forward_pre_hooks):                                       │
│ ❱ 1562 │   │   │   return forward_call(*args, **kwargs)                                                              │
│   1563                                                                                                               │
│                                                                                                                      │
│ C:\ai\automatic\venv\Lib\site-packages\diffusers\models\transformers\transformer_flux.py:172 in forward              │
│                                                                                                                      │
│   171 │   │   # Attention.                                                                                           │
│ ❱ 172 │   │   attn_output, context_attn_output = self.attn(                                                          │
│   173 │   │   │   hidden_states=norm_hidden_states,                                                                  │
│                                                                                                                      │
│ C:\ai\automatic\venv\Lib\site-packages\torch\nn\modules\module.py:1553 in _wrapped_call_impl                         │
│                                                                                                                      │
│   1552 │   │   else:                                                                                                 │
│ ❱ 1553 │   │   │   return self._call_impl(*args, **kwargs)                                                           │
│   1554                                                                                                               │
│                                                                                                                      │
│ C:\ai\automatic\venv\Lib\site-packages\torch\nn\modules\module.py:1562 in _call_impl                                 │
│                                                                                                                      │
│   1561 │   │   │   │   or _global_forward_hooks or _global_forward_pre_hooks):                                       │
│ ❱ 1562 │   │   │   return forward_call(*args, **kwargs)                                                              │
│   1563                                                                                                               │
│                                                                                                                      │
│ C:\ai\automatic\venv\Lib\site-packages\diffusers\models\attention_processor.py:490 in forward                        │
│                                                                                                                      │
│    489 │   │                                                                                                         │
│ ❱  490 │   │   return self.processor(                                                                                │
│    491 │   │   │   self,                                                                                             │
│                                                                                                                      │
│ C:\ai\automatic\venv\Lib\site-packages\diffusers\models\attention_processor.py:1765 in __call__                      │
│                                                                                                                      │
│   1764 │   │                                                                                                         │
│ ❱ 1765 │   │   hidden_states = F.scaled_dot_product_attention(query, key, value, dropout_p=0.0, is_causal=False)     │
│   1766 │   │   hidden_states = hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim)          │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
RuntimeError: Expected query, key, and value to have the same dtype, but got query.dtype: struct c10::BFloat16 key.dtype: struct c10::BFloat16 and value.dtype: float instead.
08:50:46-453169 DEBUG    GC: utilization={'gpu': 91, 'ram': 41, 'threshold': 80} gc={'collected': 139, 'saved': 13.36}
                         before={'gpu': 21.76, 'ram': 25.89} after={'gpu': 8.4, 'ram': 25.89, 'retries': 0, 'oom': 0}
                         device=cuda fn=nextjob time=0.31
08:50:46-465570 INFO     Processed: images=0 its=0.00 time=12.07 timers={'gc': 0.31, 'args': 0.02, 'process': 12.04}
                         memory={'ram': {'used': 25.89, 'total': 63.92}, 'gpu': {'used': 8.4, 'total': 23.99},
                         'retries': 0, 'oom': 0}
08:50:46-681825 INFO     XYZ grid complete: images=3 size=(3072, 1298) time=43.42 save=0.21
08:50:46-683810 DEBUG    Load module: type=t5 path="None" module="text_encoder_2"
08:50:46-684801 DEBUG    HF login: no token provided
08:50:46-685297 DEBUG    Process interrupted: 1/1
08:50:46-686786 INFO     Processed: images=0 its=0.00 time=0.00 timers={'gc': 0.31, 'args': 0.02, 'process': 12.04,
                         'post': 0.23} memory={'ram': {'used': 25.91, 'total': 63.92}, 'gpu': {'used': 8.4, 'total':
                         23.99}, 'retries': 0, 'oom': 0}

Backend

Diffusers

UI

Standard

Branch

Dev

Model

Other

Acknowledgements

vladmandic commented 1 week ago

a general rule when creating any type of issue is simplify as much as possible. i really dont see why you have xyz grid or ctrlx enabled here at all. reproduce using absolute simplest params. yes, result is expected to be the same, but i need to read that log and i really don't want to waste time going through things which are likely irrelevant and just confuse things.

also note exactly which flux variant and which text encoder you're trying to load - again, yes, i can find that in the log, but if you want help with issue, help us with providing all relevant information ahead of time.

SAC020 commented 1 week ago

Ok, I agree and point taken, I will keep in mind next time.

Want me to post a simplified log, or is the problem clear at this moment?

vladmandic commented 1 week ago

clear at the moment - order of preference for loading was incorrect so vit-l was attempted to be loaded as t5. i've pushed an update, but cannot test at the moment as my system is busy with training.

SAC020 commented 1 week ago

Thank you, it works